Now showing items 1-12 of 91

    • Volterra graph-based outlier detection for air pollution sensor networks 

      Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2022-07)
      Article
      Open Access
      Today's air pollution sensor networks pose new challenges given their heterogeneity of low-cost sensors and high-cost instrumentation. Recently, with the advent of graph signal processing, sensor network measurements have ...
    • On-device training of machine learning models on microcontrollers with federated learning 

      Llisterri Giménez, Nil; Monfort Grau, Marc; Pueyo Centelles, Roger; Freitag, Fèlix (2022-02-14)
      Article
      Open Access
      Recent progress in machine learning frameworks has made it possible to now perform inference with models using cheap, tiny microcontrollers. Training of machine learning models for these tiny devices, however, is typically ...
    • Non-linear models for black carbon exposure modelling using air pollution datasets 

      Puig Rovira, Josep M.; Paredes Ahumada, Juan Antonio; Barceló Ordinas, José María; García Vidal, Jorge; Reche Andúgar, Cristina; Sola Salvatierra, Yolanda; Fung, Pascale; Petaja, Tuukka; Hussein, Tareq; Viana Rodríguez, Mar (Elsevier, 2022-09-01)
      Article
      Open Access
      Black carbon (BC) is a product of incomplete combustion, present in urban aerosols and sourcing mainly from road traffic. Epidemiological evidence reports positive associations between BC and cardiovascular and respiratory ...
    • SAT-hadoop-processor: a distributed remote sensing big data processing software for earth observation applications 

      Boudriki Semlali, Badr Eddine; Freitag, Fèlix (Multidisciplinary Digital Publishing Institute, 2021-11-11)
      Article
      Open Access
      Nowadays, several environmental applications take advantage of remote sensing techniques. A considerable volume of this remote sensing data occurs in near real-time. Such data are diverse and are provided with high velocity ...
    • H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network 

      Barceló Ordinas, José María; Ferrer Cid, Pau; García Vidal, Jorge; Viana Rodríguez, Mar; Ripoll, Anna (Elsevier, 2021-06)
      Article
      Open Access
      The H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a ...
    • Graph learning techniques using structured data for IoT air pollution monitoring platforms 

      Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2021-09-01)
      Article
      Open Access
      Existing air pollution monitoring networks use reference stations as the main nodes. The addition of low-cost sensors calibrated in-situ with machine learning techniques allows the creation of heterogeneous air pollution ...
    • Beyond the star of stars: An introduction to multihop and mesh for LoRa and LoRaWAN 

      Pueyo Centelles, Roger; Freitag, Fèlix; Meseguer Pallarès, Roc; Navarro Moldes, Leandro (2021-04)
      Article
      Open Access
      LoRa has emerged in recent years as a wireless technology providing long-range communication for low-power Internet-of-Things (IoT) devices. The LoRaWAN architecture adds the medium access control (MAC) and application ...
    • A two-stage multi-criteria optimization method for service placement in decentralized edge micro-clouds 

      Panadero, Javier; Selimi, Mennan; Calvet Liñán, Laura; Marques Puig, Joan Manuel; Freitag, Fèlix (Elsevier, 2021-08)
      Article
      Restricted access - publisher's policy
      Community networks are becoming increasingly popular due to the growing demand for network connectivity in both rural and urban areas. Community networks are owned and managed at the edge by volunteers. Their irregular ...
    • An IoT-based infrastructure to enhance self-evacuations in natural hazardous events 

      Finochietto, José Mariano; Micheletto, Matías; Eggly, Gabriel M.; Pueyo Centelles, Roger; Santos, Rodrigo; Ochoa, Sergio F.; Meseguer Pallarès, Roc; Orozco, Javier (2021-02-05)
      Article
      Open Access
      Regardless of the extensive research conducted on large-scale evacuations, the instrumentation of these processes still represents an open issue for first response organizations. Self-evacuation of civilians that follows ...
    • Open project-based learning for dynamic adaptability of IT education 

      Tous Liesa, Rubén; Freitag, Fèlix (2020-12-20)
      Article
      Open Access
      The pace of technological change is accelerating, the duration of the trends is becoming shorter and the number of technological alternatives to solve IT problems grows quickly. Keeping IT higher education course curricula ...
    • On the performance of QUIC over wireless mesh networks 

      Manzoor, Jawad; Cerdà Alabern, Llorenç; Sadre, Ramin; Drago, Idilio (2020-10)
      Article
      Open Access
      The exponential growth in adoption of mobile phones and the widespread availability of wireless networks has caused a paradigm shift in the way we access the Internet. It has not only eased access to the Internet, but also ...
    • LoRaMoto: a communication system to provide safety awareness among civilians after an earthquake 

      Pueyo Centelles, Roger; Meseguer Pallarès, Roc; Freitag, Fèlix; Navarro Moldes, Leandro; Ochoa, Sergio; Santos, Rodrigo (Elsevier, 2021-02)
      Article
      Open Access
      Civilians in areas hit by earthquakes become in particular concerned about the safety of family and friends. However, outages in communications networks following these events limit their capacity to get information. So, ...